Use a structured service design flow to spin up a sequence of AI agents representing component parts of a management consulting firm for automated wor...Show more

Link industry codes to O*NET occupational distributions from census data to benchmark staff roles and revenue per employee for any target company or a...Show more

Leverage the Agent Builder's draft and production versioning to publish iterative changes safely and manage multiple versions of AI workflow configura...Show more

Use the Agent Builder's code component to output structured JSON variables that can be passed into external app handlers or forms for seamless integra...Show more

Tom Spencer contrasts LangChain's graph-based agent architecture with simple workflow builders, emphasizing that graph models enable nondeterministic,...Show more

Adopt the supervisor and sub-agent model for structured AI workflows where a primary agent delegates subtasks to specialized sub-agents, improving mod...Show more

Implement a supervisor/sub-agent architectural pattern by embedding nested agent workflows to enable agent-to-agent routing for complex task delegatio...Show more

Embed guardrail components into your AI agent flows to enforce safety constraints and improve reliability out of the box.

Use React Flow to auto-generate an AI agent builder UI and then customize each node component for rapid prototyping.

Use OpenAI Chat Kit's widget builder to visually configure, customize reasoning flow components, and export chat UI widgets for rapid front-end integr...Show more

The chat kit can work with OpenAI’s Agent SDK or be hooked up to other providers like LangChain, enabling cross-platform agent implementations.

OpenAI introduced a chat kit offering reusable UI components modeled after Vercel’s SDK to give apps a familiar conversation interface.

The release includes a registry of connectors to simplify integrating third-party tools into agents via a discovered catalog.

OpenAI's Agent Kit includes a visual builder demo that enables users to design agents through a graphical interface for rapid prototyping.

Leverage LangChain to create autonomous coding agents that function agnostically across different AI model providers.

Build a customized desktop app integrating Ollama Turbo via Open Code for seamless local and cloud-based AI coding workflows.

Use Open Code Zen as a model router to auto-select the best model by cost, speed, and performance for coding agents.

For larger coding tasks, generate multiple prompt variations, evaluate and combine ideas from each to refine solutions.

When using Codex for code generation, limit prompts to very specific, developer-centric language and small chunks of work to maximize accuracy and rel...Show more

Integrate your AI review agent with Vercel deployments so that code diffs are automatically previewed on live URLs for real-time feedback.